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This commit is contained in:
Alex Huddleston 2017-12-07 22:09:27 -06:00
parent ae19d80d7d
commit e09143ccbc
1 changed files with 25 additions and 25 deletions
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46
neural_network.py
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@ -118,8 +118,8 @@ model.add(Dense(units=29, activation='sigmoid'))
# Configure the learning process. # Configure the learning process.
model.compile(optimizer='sgd', model.compile(optimizer='sgd',
loss='mean_squared_error', loss='mean_squared_error',
metrics=['accuracy']) metrics=['accuracy'])
for i in range(29): for i in range(29):
@ -158,39 +158,39 @@ for i in range(11, 29):
with open('/pub/faculty_share/daugher/datafiles/data/18states.bin', 'rb') as f: with open('/pub/faculty_share/daugher/datafiles/data/18states.bin', 'rb') as f:
for i in range(2000): for i in range(2000):
data = f.read(8) data = f.read(8)
data = f.read(8) data = f.read(8)
counter = 0 counter = 0
testing = [] testing = []
testing_target = [] testing_target = []
while(data): while(data):
bin_data = reduce(format_input, list(data), []) bin_data = reduce(format_input, list(data), [])
bin_data.reverse() bin_data.reverse()
bin_data = bin_data[16:] bin_data = bin_data[16:]
testing.append(bin_data) testing.append(bin_data)
pos_data = reduce(format_pos, enumerate(list(data)), []) pos_data = reduce(format_pos, enumerate(list(data)), [])
pos_data.reverse() pos_data.reverse()
pos_data = pos_data[1:] pos_data = pos_data[1:]
state_pos = [] state_pos = []
for p in pos_data: for p in pos_data:
state_pos.append(p[1]) state_pos.append(p[1])
testing_target_pos = reduce(generate_pos, pos_data, []) testing_target_pos = reduce(generate_pos, pos_data, [])
testing_target.append(format_man_dist(man_dist_state(state_pos, testing_target_pos))) testing_target.append(format_man_dist(man_dist_state(state_pos, testing_target_pos)))
counter += 1 counter += 1
data = f.read(8) data = f.read(8)
# Evaluate accuracy # Evaluate accuracy